The foundation of data intelligence systems centers around transparency, governance, and the ethical and responsible exploitation of cutting-edge technologies, particularly GenAI.
Enhance data security with a gradual approach, focusing on areas like field-level and whole file encryption. Adopt data encryption and minimize day-to-day disruptions.
Explore the flexibility, scalability, and efficiency of cloud-native architecture compared to monolithic architecture, and learn the challenges of implementing.
Model compression is a key component of real-time deployment of deep learning models. This article explores different approaches to make models more efficient.
Explore this essential reading for devs and security professionals alike: a comprehensive comparison of vulnerability databases to help cut through the noise.
AI microservices, Kubernetes, and Kafka enable scalable, resilient intelligent applications through modular architecture and efficient resource management.
Find out how to utilize the Apache Flink Dashboard for monitoring, optimizing, and managing real-time data processing applications within AWS-managed services.
Explore the key aspects of real-time data streaming and analytics on cloud platforms, including architectures, integration strategies, and future trends.
Learn how GenAI revolutionizes PI Planning by improving decision-making, tracking, and communication, driving more efficient and agile execution across teams.
Flexible licensing strategies not only attract new customers but help ISVs implement eco-design, too. Licenses with daily time fencing are more cost-effective.
One of the most famous compression algorithms is Huffman coding. Here, see an advanced version: a block-based, 2-symbol, two-pass Huffman algorithm in Golang.